Learning to Reweight Examples for Robust Deep Learning

24 March 2018

Papers citing "Learning to Reweight Examples for Robust Deep Learning"

50 / 772 papers shown

Title
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 36 5 0 15 Mar 2024
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models M. Lashkari Amin Gheibi 35 0 0 13 Mar 2024
Rethinking Loss Functions for Fact Verification Yuta Mukobara Yutaro Shigeto Masashi Shimbo AAML 19 0 0 13 Mar 2024
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning Zijun Long Lipeng Zhuang George Killick R. McCreadie Gerardo Aragon Camarasa Paul Henderson NoLa 30 1 0 10 Mar 2024
$AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information$ AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information Jun-Xiong Xia Shaorong Chen Jingbo Zhou Tianze Ling Wenjie Du Sizhe Liu Stan Z. Li 14 2 0 09 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 26 2 0 08 Mar 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts Jihoon Tack Jaehyung Kim Eric Mitchell Jinwoo Shin Yee Whye Teh Jonathan Richard Schwarz KELM 47 18 0 07 Mar 2024
Training Unbiased Diffusion Models From Biased Dataset Yeongmin Kim Byeonghu Na Minsang Park Joonho Jang Dongjun Kim Wanmo Kang Il-Chul Moon 30 19 0 02 Mar 2024
FAIR: Filtering of Automatically Induced Rules Divya J. Bajpai Ayush Maheshwari M. Hanawal Ganesh Ramakrishnan 23 1 0 23 Feb 2024
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction Yinghao Li R. Ramprasad Chao Zhang 93 11 0 20 Feb 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua H. Shen NoLa 26 6 0 17 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 43 1 0 07 Feb 2024
Video Editing for Video Retrieval Bin Zhu Kevin Flanagan A. Fragomeni Michael Wray Dima Damen CLIP 31 0 0 04 Feb 2024
MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition Jian Kuang Wenjing Li Fang Li Jun Zhang Zhongcheng Wu 27 1 0 25 Jan 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement Aaqib Saeed Dimitris Spathis Jungwoo Oh Edward Choi Ali Etemad NoLa 31 2 0 25 Jan 2024
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation Shenwang Jiang Jianan Li Ying Wang Wenxuan Wu Jizhou Zhang Bo Huang Tingfa Xu VLM 26 4 0 22 Jan 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification Yanbiao Ma Licheng Jiao F. Liu Shuyuan Yang Xu Liu Puhua Chen 25 10 0 21 Jan 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? Bidur Khanal Binod Bhattarai Bishesh Khanal Cristian A. Linte NoLa 21 0 0 15 Jan 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance Dongyu Zhang Ruofan Hu Elke A. Rundensteiner 39 0 0 10 Jan 2024
Creating Personalized Synthetic Voices from Articulation Impaired Speech Using Augmented Reconstruction Loss Yusheng Tian Jingyu Li Tan Lee 19 0 0 08 Jan 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 32 15 0 19 Dec 2023
Learning to Reweight for Graph Neural Network Zhengyu Chen Teng Xiao Kun Kuang Zheqi Lv Min Zhang Jinluan Yang Chengqiang Lu Hongxia Yang Fei Wu OOD 34 1 0 19 Dec 2023
Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning Chongjie Si Xuehui Wang Yan Wang Xiaokang Yang Wei Shen 40 0 0 18 Dec 2023
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning Mengmeng Sheng Zeren Sun Zhenhuang Cai Tao Chen Yichao Zhou Yazhou Yao 31 16 0 15 Dec 2023
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning Haowen Bai Zixiang Zhao Jiangshe Zhang Yichen Wu Lilun Deng Yukun Cui Shuang Xu Baisong Jiang 35 6 0 13 Dec 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang Ye-ling Shi Jingya Wang OT 38 12 0 11 Dec 2023
Interactive Reweighting for Mitigating Label Quality Issues Weikai Yang Yukai Guo Jing Wu Zheng Wang Lan-Zhe Guo Yu-Feng Li Shixia Liu 31 5 0 08 Dec 2023
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction Yakun Wang Binbin Hu Shuo Yang Meiqi Zhu Qing Cui Qiyang Zhang Jun Zhou Guo Ye Huimei He 22 0 0 08 Dec 2023
ImbaGCD: Imbalanced Generalized Category Discovery Ziyun Li Ben Dai Furkan Simsek Christoph Meinel Haojin Yang 34 2 0 04 Dec 2023
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection Ruofan Hu Dongyu Zhang Dandan Tao Huayi Zhang Hao Feng Elke A. Rundensteiner FedML 31 4 0 02 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 28 3 0 01 Dec 2023
Influence Scores at Scale for Efficient Language Data Sampling Nikhil Anand Joshua Tan Maria Minakova TDI 37 3 0 27 Nov 2023
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning Zijun Long George Killick Lipeng Zhuang R. McCreadie Gerardo Aragon Camarasa Paul Henderson 30 5 0 25 Nov 2023
Pseudo-label Correction for Instance-dependent Noise Using Teacher-student Framework Eugene Kim NoLa 30 0 0 24 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 82 2 0 23 Nov 2023
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 24 0 0 22 Nov 2023
Adaptive Training Distributions with Scalable Online Bilevel Optimization David Grangier Pierre Ablin Awni Y. Hannun 27 10 0 20 Nov 2023
Simple and Effective Input Reformulations for Translation Brian Yu Hansen Lillemark Kurt Keutzer 26 0 0 12 Nov 2023
Self-Influence Guided Data Reweighting for Language Model Pre-training Megh Thakkar Tolga Bolukbasi Sriram Ganapathy Shikhar Vashishth Sarath Chandar Partha P. Talukdar MILM 32 20 0 02 Nov 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs Hyeonsoo Jo Fanchen Bu Kijung Shin OOD NoLa 20 7 0 01 Nov 2023
Bandit-Driven Batch Selection for Robust Learning under Label Noise Michal Lisicki Mihai Nica Graham W. Taylor 19 0 0 31 Oct 2023
LLMaAA: Making Large Language Models as Active Annotators Ruoyu Zhang Yanzeng Li Yongliang Ma Ming Zhou Lei Zou 35 68 0 30 Oct 2023
L2T-DLN: Learning to Teach with Dynamic Loss Network Zhoyang Hai Liyuan Pan Xiabi Liu Zhengzheng Liu Mirna Yunita 20 1 0 30 Oct 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 30 13 0 30 Oct 2023
A Challenge in Reweighting Data with Bilevel Optimization Anastasia Ivanova Pierre Ablin 32 1 0 26 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
Correction Focused Language Model Training for Speech Recognition Yingyi Ma Zhe Liu Ozlem Kalinli KELM 25 3 0 17 Oct 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning Zhe Yang Damai Dai Peiyi Wang Zhifang Sui 34 9 0 12 Oct 2023
Making Scalable Meta Learning Practical Sang Keun Choe Sanket Vaibhav Mehta Hwijeen Ahn W. Neiswanger Pengtao Xie Emma Strubell Eric P. Xing 47 15 0 09 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning Timothy Chu Zhao-quan Song Chiwun Yang 27 15 0 05 Oct 2023